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    AAAI
    2006
    157views Intelligent Agents» more  AAAI 2006»
    Compact, Convex Upper Bound Iteration for Approximate POMDP Planning
    14 years 10 months ago
    Compact, Convex Upper Bound Iteration for Approximate POMDP Planning
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    Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
    Tao Wang, Pascal Poupart, Michael H. Bowling, Dale...
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